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dc.contributor.advisorTorres-Verdín, Carlosen
dc.contributor.advisorSepehrnoori, Kamy, 1951-en
dc.creatorAlpak, Faruk Omeren
dc.date.accessioned2008-08-28T22:03:43Zen
dc.date.available2008-08-28T22:03:43Zen
dc.date.issued2005en
dc.identifierb59808056en
dc.identifier.urihttp://hdl.handle.net/2152/1498en
dc.descriptiontexten
dc.description.abstractThe focus of this dissertation is the estimation of petrophysical properties of rock formations based on the combined use of electromagnetic and fluid-flow measurements. Traditionally, borehole electromagnetic measurements are interpreted independently in terms of spatial variations of electrical resistivity. The estimated spatial variations of electrical resistivity are subsequently interpreted in terms of variations of fluid saturation and porosity. Such a strategy can lead to erroneous conclusions concerning the petrophysical evaluation of rocks because the spatial distribution of electrical resistivity is often governed by the interplay between salt concentration, absolute permeability, relative permeability, and capillary pressure. To date, no consistent effort has been advanced to use the physics of multi-phase fluid flow as the leading phenomenon in the interpretation of borehole electromagnetic measurements. This dissertation develops several efficient nonlinear inversion algorithms that quantitatively combine borehole electromagnetic and fluid-flow phenomena. These inversion algorithms also provide a measure of uncertainty and non-uniqueness in the presence of noisy and imperfect measurements. The combined use of electromagnetic and fluid-flow measurements drastically reduces non-uniqueness and uncertainty of the estimated petrophysical parameters and, therefore, increases the accuracy of the estimates. Specific problems considered in this dissertation are the estimation of spatial distributions of porosity, permeability, and fluid saturation, as well as the estimation of relative permeability and capillary pressure. Joint and independent nonlinear inversions are performed for large-scale petrophysical properties from in-situ permanent sensor data and near-borehole scale petrophysical variables of rock formations from wireline formation tester and electromagnetic induction logging measurements. For cases where fluid-flow related measurements are absent, the coupled dual-physics inversion strategy allows quantitative interpretation of electromagnetic measurements consistent with the physics of fluid flow. It is conclusively shown that the simultaneous use of fluid-flow and electromagnetic data sets reduces non-uniqueness in the inverted petrophysical model.
dc.format.mediumelectronicen
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subject.lcshMultiphase flow--Mathematical modelsen
dc.subject.lcshElectromagnetic measurementsen
dc.subject.lcshAlgorithmsen
dc.subject.lcshRocks--Analysisen
dc.titleAlgorithms for numerical modeling and inversion of multi-phase fluid flow and electromagnetic measurementsen
dc.description.departmentPetroleum and Geosystems Engineeringen
dc.identifier.oclc61185664en
dc.identifier.proqst3165091en
dc.type.genreThesisen
thesis.degree.departmentPetroleum and Geosystems Engineeringen
thesis.degree.disciplinePetroleum Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen


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